Question answering and knowledge graphs

Alessandro Moschitti; Kateryna Tymoshenko; Panos Alexopoulos; Andrew Walker; Massimo Nicosia; Guido Vetere; Alessandro Faraotti; Marco Monti; Jeff Z. Pan; Honghan Wu; Yuting Zhao

doi:10.1007/978-3-319-45654-6_7

Question answering and knowledge graphs

Alessandro Moschitti^*, Kateryna Tymoshenko, Panos Alexopoulos, Andrew Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu, Yuting Zhao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

In the Digital and Information Age, companies and government agencies are highly digitalized, as the information exchanges happening in their processes. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of research and development.

Original language	English
Title of host publication	Exploiting Linked Data and Knowledge Graphs in Large Organisations
Publisher	Springer
Pages	181-212
Number of pages	32
ISBN (Electronic)	9783319456546
ISBN (Print)	9783319456522
DOIs	https://doi.org/10.1007/978-3-319-45654-6_7
Publication status	Published - 24 Jan 2017

Keywords / Materials (for Non-textual outputs)

Mean average precision
Name entity recognition
Natural language processing
Parse tree
Question answering

Access to Document

10.1007/978-3-319-45654-6_7

Cite this

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title = "Question answering and knowledge graphs",

abstract = "In the Digital and Information Age, companies and government agencies are highly digitalized, as the information exchanges happening in their processes. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of research and development.",

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author = "Alessandro Moschitti and Kateryna Tymoshenko and Panos Alexopoulos and Andrew Walker and Massimo Nicosia and Guido Vetere and Alessandro Faraotti and Marco Monti and Pan, {Jeff Z.} and Honghan Wu and Yuting Zhao",

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doi = "10.1007/978-3-319-45654-6_7",

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TY - CHAP

T1 - Question answering and knowledge graphs

AU - Moschitti, Alessandro

AU - Tymoshenko, Kateryna

AU - Alexopoulos, Panos

AU - Walker, Andrew

AU - Nicosia, Massimo

AU - Vetere, Guido

AU - Faraotti, Alessandro

AU - Monti, Marco

AU - Pan, Jeff Z.

AU - Wu, Honghan

AU - Zhao, Yuting

PY - 2017/1/24

Y1 - 2017/1/24

N2 - In the Digital and Information Age, companies and government agencies are highly digitalized, as the information exchanges happening in their processes. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of research and development.

AB - In the Digital and Information Age, companies and government agencies are highly digitalized, as the information exchanges happening in their processes. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of research and development.

KW - Mean average precision

KW - Name entity recognition

KW - Natural language processing

KW - Parse tree

KW - Question answering

UR - http://www.scopus.com/inward/record.url?scp=85054611125&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-45654-6_7

DO - 10.1007/978-3-319-45654-6_7

M3 - Chapter

AN - SCOPUS:85054611125

SN - 9783319456522

SP - 181

EP - 212

BT - Exploiting Linked Data and Knowledge Graphs in Large Organisations

PB - Springer

ER -

Question answering and knowledge graphs

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

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